NOTE: Course information changes frequently, including Methods of Instruction. Please revisit these pages periodically for the most recent and up-to-date course information.
Spring 2023 Computer Science W4232 section 001
|Day & Time
|Method of Instruction||In-Person|
|Course Description||Introduces classic and modern algorithmic ideas that are central to many areas of Computer Science. The focus is on most powerful paradigms and techniques of how to design algorithms, and how to measure their efficiency. The intent is to be broad, covering a diversity of algorithmic techniques, rather than be deep. The covered topics have all been implemented and are widely used in industry. Topics include: hashing, sketching/streaming, nearest neighbor search, graph algorithms, spectral graph theory, linear programming, models for large-scale computation, and other related topics|
|Enrollment||0 students (60 max) as of 8:06AM Friday, December 2, 2022|
|Division||School of Engineering and Applied Science: Graduate|
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